Comer says the "well over 100" functions that the ONOS includes are burdensome. In the four-plus years since its launch, ONOS has attracted nearly 14,000 commits, and has close to 900,000 lines of code – it's not something you can recompile on-the-fly.

PM2 is a Production Runtime and Process Manager for Node.js applications with a built-in Load Balancer. It allows you to keep applications alive forever, to reload them without downtime and facilitate common Devops tasks.

However, the reality of cross-region synchronous replication is messy. For example, the region paired with South Central US is US North Central. Even at the speed of light, it takes time for the data to reach the other data center and for the original data center to receive the response. The round-trip latency is added to every write. This adds approximately 70ms for each round trip between South Central US and US North Central. For some of our key services, that’s too long. Machines slow down and networks have problems for any number of reasons. Since every write only succeeds when two different sets of services in two different regions can successfully commit the data and respond, there is twice the opportunity for slowdowns and failures. As a result, either availability suffers (halted while waiting for the secondary write to commit) or the system must fall back to asynchronous replication.

Using Cloudflare’s gateway, you can also build a website that’s hosted entirely on IPFS, but still available to your users at a custom domain name. Plus, we’ll issue any website connected to our gateway a free SSL certificate, ensuring that each website connected to Cloudflare's gateway is secure from snooping and manipulation.

(1) Systems that fail to guarantee consistency result in complex, expensive, and often buggy application code.
(2) The reduction of availability that is caused by the guarantee of consistency is minute, and hardly noticeable for many deployments.
(3) The CAP theorem is fundamentally asymmetrical. CP systems can guarantee consistency. AP systems do not guarantee availability (no system can guarantee 100% availability). Thus only one side of the CAP theorem opens the door for any useful guarantees.
I believe that the above three points is what has caused the amazing renaissance of distributed, transactional database systems

With cloud based edge computing we've entered a kind of weird mushy mixed centralized/decentralized architecture phase. Amazon let's you put EC2 instances at the edge. Microsoft has Azure IoT Edge. Google has Cloud IoT Edge and GKE On-Prem and Edge TPU. The general idea is you pay cloud providers to put their machines on your premises and let them manage what they can. You aren't paying other people to manage you're own equipment, the equipment isn't even yours. Outsourcing with a twist. Since the prefix de- means "away from" and centr- means "middle", maybe postcentralization, as in after the middle, would be a good term for it?

If more workers are present than needed to complete the work available, some workers will always be idle; despite this, having surplus workers makes redistributing them across the tasks that need work much faster. Thus, unexpectedly, such surplus, idle workers may potentially significantly improve system performance